Multilingual Text Video Retrieval

Multilingual text-video retrieval focuses on developing systems that can accurately retrieve videos based on text queries in multiple languages. Current research emphasizes improving retrieval performance for languages beyond English, often leveraging knowledge distillation techniques or creating large multilingual datasets to train models like CLIP adaptations. This field is significant because it enables cross-lingual access to vast video archives, impacting applications such as news analysis, education, and cross-cultural communication. The development of robust and efficient multilingual models is a key challenge driving ongoing research.

Papers